{
  "cells": [
    {
      "cell_type": "markdown",
      "source": "### facetgrid 用于展示数据的子集\n* 1构造展示区域\n* 2map函数",
      "metadata": {
        "pycharm": {
          "metadata": false,
          "name": "#%% md\n"
        }
      }
    },
    {
      "cell_type": "code",
      "execution_count": 36,
      "outputs": [
        {
          "data": {
            "text/plain": "    total_bill   tip     sex smoker   day    time  size\n0        16.99  1.01  Female     No   Sun  Dinner     2\n1        10.34  1.66    Male     No   Sun  Dinner     3\n2        21.01  3.50    Male     No   Sun  Dinner     3\n3        23.68  3.31    Male     No   Sun  Dinner     2\n4        24.59  3.61  Female     No   Sun  Dinner     4\n5        25.29  4.71    Male     No   Sun  Dinner     4\n6         8.77  2.00    Male     No   Sun  Dinner     2\n7        26.88  3.12    Male     No   Sun  Dinner     4\n8        15.04  1.96    Male     No   Sun  Dinner     2\n9        14.78  3.23    Male     No   Sun  Dinner     2\n10       10.27  1.71    Male     No   Sun  Dinner     2\n11       35.26  5.00  Female     No   Sun  Dinner     4\n12       15.42  1.57    Male     No   Sun  Dinner     2\n13       18.43  3.00    Male     No   Sun  Dinner     4\n14       14.83  3.02  Female     No   Sun  Dinner     2\n15       21.58  3.92    Male     No   Sun  Dinner     2\n16       10.33  1.67  Female     No   Sun  Dinner     3\n17       16.29  3.71    Male     No   Sun  Dinner     3\n18       16.97  3.50  Female     No   Sun  Dinner     3\n19       20.65  3.35    Male     No   Sat  Dinner     3\n20       17.92  4.08    Male     No   Sat  Dinner     2\n21       20.29  2.75  Female     No   Sat  Dinner     2\n22       15.77  2.23  Female     No   Sat  Dinner     2\n23       39.42  7.58    Male     No   Sat  Dinner     4\n24       19.82  3.18    Male     No   Sat  Dinner     2\n25       17.81  2.34    Male     No   Sat  Dinner     4\n26       13.37  2.00    Male     No   Sat  Dinner     2\n27       12.69  2.00    Male     No   Sat  Dinner     2\n28       21.70  4.30    Male     No   Sat  Dinner     2\n29       19.65  3.00  Female     No   Sat  Dinner     2\n..         ...   ...     ...    ...   ...     ...   ...\n70       12.02  1.97    Male     No   Sat  Dinner     2\n71       17.07  3.00  Female     No   Sat  Dinner     3\n72       26.86  3.14  Female    Yes   Sat  Dinner     2\n73       25.28  5.00  Female    Yes   Sat  Dinner     2\n74       14.73  2.20  Female     No   Sat  Dinner     2\n75       10.51  1.25    Male     No   Sat  Dinner     2\n76       17.92  3.08    Male    Yes   Sat  Dinner     2\n77       27.20  4.00    Male     No  Thur   Lunch     4\n78       22.76  3.00    Male     No  Thur   Lunch     2\n79       17.29  2.71    Male     No  Thur   Lunch     2\n80       19.44  3.00    Male    Yes  Thur   Lunch     2\n81       16.66  3.40    Male     No  Thur   Lunch     2\n82       10.07  1.83  Female     No  Thur   Lunch     1\n83       32.68  5.00    Male    Yes  Thur   Lunch     2\n84       15.98  2.03    Male     No  Thur   Lunch     2\n85       34.83  5.17  Female     No  Thur   Lunch     4\n86       13.03  2.00    Male     No  Thur   Lunch     2\n87       18.28  4.00    Male     No  Thur   Lunch     2\n88       24.71  5.85    Male     No  Thur   Lunch     2\n89       21.16  3.00    Male     No  Thur   Lunch     2\n90       28.97  3.00    Male    Yes   Fri  Dinner     2\n91       22.49  3.50    Male     No   Fri  Dinner     2\n92        5.75  1.00  Female    Yes   Fri  Dinner     2\n93       16.32  4.30  Female    Yes   Fri  Dinner     2\n94       22.75  3.25  Female     No   Fri  Dinner     2\n95       40.17  4.73    Male    Yes   Fri  Dinner     4\n96       27.28  4.00    Male    Yes   Fri  Dinner     2\n97       12.03  1.50    Male    Yes   Fri  Dinner     2\n98       21.01  3.00    Male    Yes   Fri  Dinner     2\n99       12.46  1.50    Male     No   Fri  Dinner     2\n\n[100 rows x 7 columns]",
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\u003ctd\u003eDinner\u003c/td\u003e\n      \u003ctd\u003e2\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003cth\u003e93\u003c/th\u003e\n      \u003ctd\u003e16.32\u003c/td\u003e\n      \u003ctd\u003e4.30\u003c/td\u003e\n      \u003ctd\u003eFemale\u003c/td\u003e\n      \u003ctd\u003eYes\u003c/td\u003e\n      \u003ctd\u003eFri\u003c/td\u003e\n      \u003ctd\u003eDinner\u003c/td\u003e\n      \u003ctd\u003e2\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003cth\u003e94\u003c/th\u003e\n      \u003ctd\u003e22.75\u003c/td\u003e\n      \u003ctd\u003e3.25\u003c/td\u003e\n      \u003ctd\u003eFemale\u003c/td\u003e\n      \u003ctd\u003eNo\u003c/td\u003e\n      \u003ctd\u003eFri\u003c/td\u003e\n      \u003ctd\u003eDinner\u003c/td\u003e\n      \u003ctd\u003e2\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003cth\u003e95\u003c/th\u003e\n      \u003ctd\u003e40.17\u003c/td\u003e\n      \u003ctd\u003e4.73\u003c/td\u003e\n      \u003ctd\u003eMale\u003c/td\u003e\n      \u003ctd\u003eYes\u003c/td\u003e\n      \u003ctd\u003eFri\u003c/td\u003e\n      \u003ctd\u003eDinner\u003c/td\u003e\n      \u003ctd\u003e4\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003cth\u003e96\u003c/th\u003e\n      \u003ctd\u003e27.28\u003c/td\u003e\n      \u003ctd\u003e4.00\u003c/td\u003e\n      \u003ctd\u003eMale\u003c/td\u003e\n      \u003ctd\u003eYes\u003c/td\u003e\n      \u003ctd\u003eFri\u003c/td\u003e\n      \u003ctd\u003eDinner\u003c/td\u003e\n      \u003ctd\u003e2\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003cth\u003e97\u003c/th\u003e\n      \u003ctd\u003e12.03\u003c/td\u003e\n      \u003ctd\u003e1.50\u003c/td\u003e\n      \u003ctd\u003eMale\u003c/td\u003e\n      \u003ctd\u003eYes\u003c/td\u003e\n      \u003ctd\u003eFri\u003c/td\u003e\n      \u003ctd\u003eDinner\u003c/td\u003e\n      \u003ctd\u003e2\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003cth\u003e98\u003c/th\u003e\n      \u003ctd\u003e21.01\u003c/td\u003e\n      \u003ctd\u003e3.00\u003c/td\u003e\n      \u003ctd\u003eMale\u003c/td\u003e\n      \u003ctd\u003eYes\u003c/td\u003e\n      \u003ctd\u003eFri\u003c/td\u003e\n      \u003ctd\u003eDinner\u003c/td\u003e\n      \u003ctd\u003e2\u003c/td\u003e\n    \u003c/tr\u003e\n    \u003ctr\u003e\n      \u003cth\u003e99\u003c/th\u003e\n      \u003ctd\u003e12.46\u003c/td\u003e\n      \u003ctd\u003e1.50\u003c/td\u003e\n      \u003ctd\u003eMale\u003c/td\u003e\n      \u003ctd\u003eNo\u003c/td\u003e\n      \u003ctd\u003eFri\u003c/td\u003e\n      \u003ctd\u003eDinner\u003c/td\u003e\n      \u003ctd\u003e2\u003c/td\u003e\n    \u003c/tr\u003e\n  \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e100 rows × 7 columns\u003c/p\u003e\n\u003c/div\u003e"
          },
          "metadata": {},
          "output_type": "execute_result",
          "execution_count": 36
        }
      ],
      "source": "import numpy as np\nimport pandas as pd\nimport seaborn as sns\nimport matplotlib as mpl\nimport matplotlib.pyplot as plt\n\ntips \u003d pd.read_csv(\"tips.csv\")\ntips.head(100)",
      "metadata": {
        "pycharm": {
          "metadata": false,
          "name": "#%%\n",
          "is_executing": false
        }
      }
    },
    {
      "cell_type": "code",
      "execution_count": 17,
      "outputs": [
        {
          "data": {
            "text/plain": "\u003cseaborn.axisgrid.FacetGrid at 0x25d07ff1e80\u003e"
          },
          "metadata": {},
          "output_type": "execute_result",
          "execution_count": 17
        },
        {
          "data": {
            "text/plain": "\u003cFigure size 432x216 with 2 Axes\u003e",
            "image/png": "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\u003d\u003d\n"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": "g \u003d sns.FacetGrid(data\u003dtips, col\u003d\"time\") # 绘图区域\ng.map(plt.hist, \"tip\")  # 绘图",
      "metadata": {
        "pycharm": {
          "metadata": false,
          "name": "#%%\n",
          "is_executing": false
        }
      }
    },
    {
      "cell_type": "markdown",
      "source": "### 设置facegrid\n* 绘图数据\n* 行列内容\n* 分类标签\n* 长 宽",
      "metadata": {
        "pycharm": {
          "metadata": false,
          "name": "#%% md\n"
        }
      }
    },
    {
      "cell_type": "code",
      "execution_count": 37,
      "outputs": [
        {
          "data": {
            "text/plain": "\u003cseaborn.axisgrid.FacetGrid at 0x25d0b2b9978\u003e"
          },
          "metadata": {},
          "output_type": "execute_result",
          "execution_count": 37
        },
        {
          "data": {
            "text/plain": "\u003cFigure size 629.359x288 with 2 Axes\u003e",
            "image/png": 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\u003d\u003d\n"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": "g \u003d sns.FacetGrid(tips, col\u003d\"sex\", hue\u003d\"smoker\", size\u003d4, aspect\u003d1) # 指定行, 分类标签\ng.map(plt.scatter, \"total_bill\", \"tip\", alpha\u003d.7)  # 指定数据,\ng.add_legend()",
      "metadata": {
        "pycharm": {
          "metadata": false,
          "name": "#%%\n",
          "is_executing": false
        }
      }
    },
    {
      "cell_type": "markdown",
      "source": "### 设置map 实际绘图内容\n* 绘图方式\n* 显示的行列内容\n* 颜色\n* 回归线是否显示\n* 数据浮动宽度",
      "metadata": {
        "pycharm": {
          "metadata": false,
          "name": "#%% md\n",
          "is_executing": false
        }
      }
    },
    {
      "cell_type": "code",
      "execution_count": 38,
      "outputs": [
        {
          "data": {
            "text/plain": "\u003cseaborn.axisgrid.FacetGrid at 0x25d0b3610f0\u003e"
          },
          "metadata": {},
          "output_type": "execute_result",
          "execution_count": 38
        },
        {
          "data": {
            "text/plain": "\u003cFigure size 432x432 with 4 Axes\u003e",
            "image/png": 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\u003d\u003d\n"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": "\ng \u003d sns.FacetGrid(tips,row\u003d\"smoker\", col\u003d\"time\", margin_titles\u003dTrue)\ng.map(sns.regplot, \"size\", \"total_bill\", color\u003d\"black\", fit_reg\u003dTrue, x_jitter\u003d.2)\n",
      "metadata": {
        "pycharm": {
          "metadata": false,
          "name": "#%%\n",
          "is_executing": false
        }
      }
    },
    {
      "cell_type": "markdown",
      "source": "## facegrid 绘制多变量\n",
      "metadata": {
        "pycharm": {
          "metadata": false,
          "name": "#%% md\n"
        }
      }
    },
    {
      "cell_type": "markdown",
      "source": "### 多变量指定不同的颜色\n* 多变量设置数据源 分类显示标签 调色板不同的变量对应的颜色 显示尺寸\n\n\n* 设置子图间隔",
      "metadata": {
        "pycharm": {
          "metadata": false,
          "name": "#%% md\n"
        }
      }
    },
    {
      "cell_type": "code",
      "execution_count": 54,
      "outputs": [
        {
          "data": {
            "text/plain": "\u003cseaborn.axisgrid.FacetGrid at 0x25d0d992ac8\u003e"
          },
          "metadata": {},
          "output_type": "execute_result",
          "execution_count": 54
        },
        {
          "data": {
            "text/plain": "\u003cFigure size 501.625x432 with 1 Axes\u003e",
            "image/png": 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\u003d\u003d\n"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": "pal_color \u003d dict(Lunch\u003d\"seagreen\", Dinner\u003d\"gray\") # 使用字典对属性中不同类别的值指定颜色\n\ng \u003d sns.FacetGrid(tips, hue\u003d\"time\", palette\u003dpal_color, size\u003d6, hue_kws\u003d{\"marker\":[\"o\", \"v\"]}) \n# 指定            数据源, 分类标签, 调色板,             尺寸      不同标签形状\n\ng.map(plt.scatter, \"total_bill\", \"tip\",s\u003d100 ,   linewidth\u003d.8, edgecolor\u003d\"white\")\n#      散点图        行           列    点大小   线宽             边界颜色\n\ng.add_legend()\n",
      "metadata": {
        "pycharm": {
          "metadata": false,
          "name": "#%%\n",
          "is_executing": false
        }
      }
    },
    {
      "cell_type": "markdown",
      "source": "### 子图绘制 with\n",
      "metadata": {
        "pycharm": {
          "metadata": false,
          "name": "#%% md\n"
        }
      }
    },
    {
      "cell_type": "code",
      "execution_count": 55,
      "outputs": [
        {
          "data": {
            "text/plain": "\u003cseaborn.axisgrid.FacetGrid at 0x25d0da77b38\u003e"
          },
          "metadata": {},
          "output_type": "execute_result",
          "execution_count": 55
        },
        {
          "data": {
            "text/plain": "\u003cFigure size 360x360 with 4 Axes\u003e",
            "image/png": 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\u003d\u003d\n"
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": "with sns.axes_style(\"white\"):\n    g \u003d sns.FacetGrid(tips, row\u003d\"sex\", col\u003d\"smoker\", margin_titles\u003dTrue, size\u003d2.5)\ng.map(plt.scatter, \"total_bill\", \"tip\", color\u003d\"r\", edgecolor\u003d\"white\", lw\u003d.5)\n",
      "metadata": {
        "pycharm": {
          "metadata": false,
          "name": "#%%\n",
          "is_executing": false
        }
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "outputs": [],
      "source": "",
      "metadata": {
        "pycharm": {
          "metadata": false,
          "name": "#%%\n"
        }
      }
    }
  ],
  "metadata": {
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 2
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython2",
      "version": "2.7.6"
    },
    "kernelspec": {
      "name": "python3",
      "language": "python",
      "display_name": "Python 3"
    },
    "stem_cell": {
      "cell_type": "raw",
      "source": "",
      "metadata": {
        "pycharm": {
          "metadata": false
        }
      }
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}